Mestre vs Caldiero Terme: result 0-1 and analysis
Serie D - Girone CRegular Season - 6Kick-off on September 29, 2019 at 01:00 PM (UTC)Stadio Francesco Baracca, Mestre
Full time
What was the result of Mestre vs Caldiero Terme?
Caldiero Terme won 0-1 on September 29, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mestre have 4 wins, 5 draws and 6 defeats; Caldiero Terme have 3, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2019 | Villafranca(away) | 2-1 | Serie D - Girone C |
| Sep 15, 2019 | Legnago Salus(home) | 2-3 | Serie D - Girone C |
| Sep 11, 2019 | Chions(away) | 2-2 | Serie D - Girone C |
| Sep 7, 2019 | Adriese(home) | 2-2 | Serie D - Girone C |
| Sep 1, 2019 | Cartigliano(away) | 0-1 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2019 | Montebelluna(home) | 1-0 | Serie D - Girone C |
| Sep 15, 2019 | Vigasio(away) | 0-2 | Serie D - Girone C |
| Sep 11, 2019 | Villafranca(home) | 1-0 | Serie D - Girone C |
| Sep 7, 2019 | Legnago Salus(home) | 1-3 | Serie D - Girone C |
| Sep 1, 2019 | Chions(away) | 1-0 | Serie D - Girone C |
How many goals should we expect?
Mestre score 1.3 and concede 1.4 goals per match over their last 15; Caldiero Terme score 0.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mestre | 1.3 | 1.4 | 4 | 7/15 | 8/15 |
| Caldiero Terme | 0.8 | 1.0 | 3 | 1/5 | 1/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Mestre | 6 | 2 | 4 | 0 | 9 | 6 | 10 |
A question about Mestre vs Caldiero Terme?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy